The Internet of Things (IoT) is a continuing massive excitement for machine-to-machine communications to encourage individual devices to use the internet for data sharing. This work introduces the design and performance of continuous transformer monitoring and failure diagnostic and documents main distribution transformers indicators such as load current, transformer oil level, gas formation, and temperature. By using this project one must continuously take a look at it and it will reduce progress and maximize the stability, accuracy, and performance of this project. The sensors are used to track recurrent errors or voltage intake variations. The observed information is transmitted to the microcontroller and it tests parameter limitations that send it to the IoT web server using the IoT module. This data sharing means that the appropriate data are presented to the customer and before any significant errors occur according to the collected data the user will make useful choices.
This project proposed with a new innovative street light system using LED array. It uses many sensors to control and offer a more efficient system. D6T thermal sensor is an extremely sensitive sensor is used to detect presence of a person. Street lights will be switched ON only when a person comes in the detection range otherwise, it will be switched off. PIC controller is used to check the state of street lamp and informs to TNEB by sending the message through IOT technology. The system allows abundant energy savings with increased consummation and maintainability. The manual works will be reduced to a greater extent.
The development of assistive technologies by means of human machine interface is turning out to be one of the most attractive areas of today's research. Innovation in power consumption, signal processing and wireless communication has been the focus for the development of such systems. However, these devices have not reached the mass market yet. The development of a versatile system which can as well play a major role in clinical and rehabilitative control applications could revolutionize this domain. The system is based on TI's embedded processor, wireless communication solutions and highly-customized analog front ends. As a proof of concept, our technology integrates the MSP430 architecture, INA333-HT instrumentation amplifier, INA129/128 as analog front end and further LM324 for analog signal processing in an effective manner. This system measures EOG, a biopotential signal, which is being pre-processed, amplified, digitized and after signal processing results are wirelessly transmitted thereby establishing human-machine communication. This project cleverly combines hardware and software disciplines resulting into one successful system which could hold ground for the development of intelligent assistive technology. The proposed technology holds clinical and rehabilitative applications as well.
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